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KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Job Description/Preferred Qualifications

Frontline is an established leader in the field of CAM software for PCB manufacturing. We have embarked on the exciting path of adding artificial intelligence capabilities to our products.

We are looking for an Algorithm Software Engineer to join our Algorithm team.

Responsibilities include develop algorithms and deploy them within our existing products. This entails all algorithmic and software engineering aspects. To do this job successfully, you need exceptional software engineering skills additionally to Mathematical background.

Responsibilities

Design and implement appropriate algorithms and tools according to product requirements

Full closure of development cycle from initial idea all the way to seamless integration with existing products

Work as a team member for optimal achievement of project goals

Attain a high degree of knowledge in the domain of PCB manufacturing

Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Machine Learning Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding

The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk at Meta. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of Metas risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing Metas financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for Meta's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and Meta practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at Meta
Identify and Initiate New Business Opportunities: - Collaborate with Meta FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work

We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities
Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to Meta product development.

We are seeking a Senior Applied Scientist to contribute to the ongoing development of Microsoft 365 Copilot in Excel, with an emphasis on optimizing LLM and Agentic workflows. This position is part of the Microsoft 365 Excel team, dedicated to pioneering advancements in generative AI. The successful candidate will possess substantial expertise in large language models (LLMs), information retrieval, and machine learning. Responsibilities include close collaboration with engineering and product teams to innovate, design, and assess comprehensive AI solutions for millions of enterprise users. This role will influence technical direction, inform product development, and foster cross-team collaboration to deliver impactful AI-driven experiences that empower users to achieve more.



Responsibilities

Youll work as part of an Applied Science team on high-impact, technically ambitious AI projects that directly shape the future of Microsoft 365 Copilot in Excel including

You will design, fine-tune, and deliver models and agentic flows for integration with Excel Agent and on-canvas experiences.
You will leverage state-of-the-art LLM fine-tuning and retrieval methods, with robust evaluation metrics and A/B testing to ensure data-driven progress.
You will gather and curate relevant benchmarks, build a comprehensive evaluation framework, and develop GPT-based evaluators (LLM-as-a-Judge). Run controlled experiments to compare performance, efficiency, and scalability using data-driven metrics and A/B testing focusing on reproducible and impactful results.
You will continuously study emerging literature, share insights with leadership and peers during research reviews and deep dives adapt quickly to new findings, and integrate them into experiments and when applicable share with broader research community.

As a Senior Software Engineer in our Edge AI group, you will design, develop, and maintain media encoding pipelines and live streaming workflows for both cloud and on-premises environments. You will build infrastructure, tools, and real-time monitoring systems that ensure reliable live video delivery and operational visibility. Your work will involve writing code that integrates with Azure resources and extensions, leveraging modern technology stacks and methodologies. You will be expected to break down complex problems, create clear execution plans, and take full ownership of your code from development through production. Collaboration within a multi-disciplinary team will be key, requiring strong communication skills and alignment with Microsoft values. In addition, you will automate quality control and alerting mechanisms to rapidly detect and resolve streaming issues, ensuring a seamless experience for customers streaming camera feeds and viewing live video alongside AI-driven insights.

We are seeking a security researcher, who enjoys unraveling the mysteries and unique patterns of corporate computing environments and attackers techniques in Microsofts enormous scale of signals and security mechanisms, to join our Israeli research team and help provide our customers with tools to improve their security posture. The job includes performing both low level and high-level research of attackers techniques, security mechanism and controls, and data analysis over various types of telemetries.

Responsibilities include:

Analyze and research security controls, attackers techniques and anomalous patterns
Explore massive amounts of data to come up with new security posture insights, which can then be translated into security recommendations for our customers
Work together with the different engineering teams to develop the code to support the research findings
Collaborate with multiple product teams to design sensors, implement discovery & detection logics and validate their effectiveness using a data-driven approach
Collaborate with data science teams to understand and identify detection gaps, capabilities, assumptions and improvements
Collaborate with other teams across Microsoft and come up with innovative ideas which should be part of future versions of the product

We are looking for AI Engineer to join the Data Science team.

As an AI Engineer in the Data Science team, you will be working closely with applied researchers on model optimizations, GPU and hardware, language-model optimizations in the Video and Language domains and more. Your code will reach Azure resources and extensions, and you will use various technology stacks with the latest tools and methodologies. You will be expected to ;break down problems, learn and develop, have an open mind, and have ownership all the way to production. Working in a multi-disciplinary team will require excellent communication skills and at the heart of it all, alignment with Microsoft values and endless curiousness.

If you are a talented Applied Scientist with strong technical skills, a passion for turning data and research into real-world impact, and the ambition to design, experiment, and ship innovative ML and AI solutions, we would love to talk to you!

In our team, you will:

Develop ML models to detect and disrupt cyberattacks.

Collaborate with security experts to incorporate domain knowledge into ML solutions.

Work with truly large-scale data to create and refine high-quality training datasets.

Deploy ML models into production, monitor their performance, and continuously improve them.

Stay up to date with the latest advancements in ML/AI and apply them to complex cybersecurity challenges.

This is a fast-paced, high-impact environment where technical depth and creative problem-solving are essential. The team is looking for a Senior Security Researcher who is passionate about cloud security and eager to contribute to Azure-wide initiatives. This role is ideal for individuals who thrive on tackling complex challenges and are committed to advancing the security posture of Microsoft Azure through research, innovation, and collaboration.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.



Responsibilities
Uncover vulnerabilities in critical Azure services, protocols, and architecture, including networking, storage, and compute.
Provide expert security guidance to Azure teams managing high-value services with large customer bases, helping to safeguard against potential threats.
Utilize artificial intelligence tools and techniques to enhance the speed and effectiveness of security research.
Work closely with other security teams across Microsoft to maximize risk mitigation efforts throughout the technology stack.

In Google Search, we're reimagining what it means to search for information any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities
Write and test product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Design and implement solutions in one or more specialized Machine Learning (ML) areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.